bpp::CWiseApply< R, T, F > Class Template Reference

#include <Bpp/Phyl/Likelihood/DataFlow/DataFlowCWiseComputing.h>

Inheritance diagram for bpp::CWiseApply< R, T, F >:

Collaboration diagram for bpp::CWiseApply< R, T, F >:

Public Types
using	Self = CWiseApply

Public Member Functions
	CWiseApply (NodeRefVec &&deps, const Dimension< R > &dim)
std::string	debugInfo () const override
	Node debug info (default = ""): user defined detailed info for DF graph debug. More...
bool	compareAdditionalArguments (const Node_DF &other) const final
	Compare node-specific configuration to another. More...
NodeRef	derive (Context &c, const Node_DF &node) final
	Returns a node computing d(this_node_expression)/d(node_expression). More...
NodeRef	recreate (Context &c, NodeRefVec &&deps) final
	Recreate the node with different dependencies. More...
std::string	shape () const override
std::string	color () const override
std::string	description () const override
	Node pretty name (default = type name). More...
const R &	targetValue ()
	Access value, recompute if needed. More...
const R &	accessValueConst () const noexcept
	Raw value access (const). More...
ValueRef< R >	deriveAsValue (Context &c, const Node_DF &node)
void	modify (Callable &&modifier, bool makeValid)
	General case for modification of the T object. More...
bool	isValid () const noexcept
std::size_t	nbDependentNodes () const noexcept
	Number of dependent nodes (ie nodes that depend on this) More...
const std::vector< Node_DF * > &	dependentNodes () const noexcept
std::size_t	nbDependencies () const noexcept
	Number of dependencies (ie nodes we depend on) More...
const NodeRefVec &	dependencies () const noexcept
const NodeRef &	dependency (std::size_t i) const noexcept
virtual bool	hasNumericalProperty (NumericalProperty prop) const
	Test if the node has the given numerical property. More...
virtual std::size_t	hashAdditionalArguments () const
	Return the hash of node-specific configuration. More...
void	computeRecursively ()
	Compute this node value, recomputing dependencies (transitively) as needed. More...

Static Public Member Functions
static ValueRef< R >	create (Context &c, NodeRefVec &&deps, const Dimension< R > &dim)
	Build a new CWiseApply node. More...

Protected Member Functions
R &	accessValueMutable () noexcept
void	invalidateRecursively () noexcept
	Invalidate (transitively) dependent nodes from this one. More...
void	makeInvalid () noexcept
void	makeValid () noexcept
void	resetDependencies_ (NodeRefVec &&dependenciesArg)

Private Member Functions
void	compute () override
	Computation implementation. More...
template<class U >
std::enable_if< std::is_base_of< U, MatrixLik >::value &&std::is_same< F, TransitionFunction >::value, void >::type	compute ()
	Computation implementation. More...
void	registerNode (Node_DF *n)
void	unregisterNode (const Node_DF *n)

Private Attributes
std::vector< VectorLik >	bppLik_
	For computation purpose. More...
Dimension< R >	targetDimension_
R	value_
NodeRefVec	dependencyNodes_ {}
std::vector< Node_DF * >	dependentNodes_ {}
bool	isValid_ {false}

Detailed Description

template<typename R, typename T, typename F>
class bpp::CWiseApply< R, T, F >

Definition at line 69 of file DataFlowCWiseComputing.h.

Member Typedef Documentation

Self

template<typename R , typename T , typename F >

using bpp::CWiseApply< R, T, F >::Self = CWiseApply

Definition at line 72 of file DataFlowCWiseComputing.h.

Constructor & Destructor Documentation

CWiseApply()

template<typename R , typename T , typename F >

bpp::CWiseApply< R, T, F >::CWiseApply ( NodeRefVec &&  deps, const Dimension< R > &  dim  )

inline

Definition at line 86 of file DataFlowCWiseComputing.h.

References bpp::Value< R >::accessValueMutable().

Member Function Documentation

accessValueConst()

const R & bpp::Value< R >::accessValueConst ( ) const

inlinenoexceptinherited

Raw value access (const).

Value is not guaranteed to be valid (no recomputation).

Definition at line 385 of file DataFlow.h.

accessValueMutable()

R & bpp::Value< R >::accessValueMutable ( )

inlineprotectednoexceptinherited

Raw value access (mutable). Should only be used by subclasses to implement compute().

Definition at line 416 of file DataFlow.h.

color()

template<typename R , typename T , typename F >

std::string bpp::CWiseApply< R, T, F >::color ( ) const

inlineoverridevirtual

Reimplemented from bpp::Node_DF.

Definition at line 144 of file DataFlowCWiseComputing.h.

compareAdditionalArguments()

template<typename R , typename T , typename F >

bool bpp::CWiseApply< R, T, F >::compareAdditionalArguments ( const Node_DF &  other ) const

inlinefinalvirtual

Compare node-specific configuration to another.

Required by Context for merging. It must compare everything in the node configuration except its type and dependencies. See DataFlowNumeric for examples. The default returns false, so nodes are considered different and not merged.

Reimplemented from bpp::Node_DF.

Definition at line 99 of file DataFlowCWiseComputing.h.

compute() [1/2]

template<typename R , typename T , typename F >

template<class U >

std::enable_if<std::is_base_of<U, MatrixLik>::value && std::is_same<F, TransitionFunction>::value, void>::type bpp::CWiseApply< R, T, F >::compute ( )

inlineprivatevirtual

Computation implementation.

This functions is defined by derived classes. It should compute the new node value from dependency node values. When called, dependency node are guaranteed to have valid values.

This function is private to prevent use for invalid dependencies. Higher level functions like computeRecursively call it while ensuring dependency validity.

Compute has access to dependencies as a NodeRefVec (base Node_DF classes only). The recommended usage is to check dependency types at Node construction. Then use static_cast to access derived classes efficiently from the NodeRefVec. See DataFlowNumeric.h for examples.

Implements bpp::Node_DF.

Definition at line 159 of file DataFlowCWiseComputing.h.

References bpp::Value< R >::accessValueMutable(), bpp::CWiseApply< R, T, F >::bppLik_, bpp::copyBppToEigen(), and bpp::Node_DF::dependency().

compute() [2/2]

template<typename R , typename T , typename F >

void bpp::CWiseApply< R, T, F >::compute ( )

inlineoverrideprivatevirtual

Computation implementation.

This functions is defined by derived classes. It should compute the new node value from dependency node values. When called, dependency node are guaranteed to have valid values.

This function is private to prevent use for invalid dependencies. Higher level functions like computeRecursively call it while ensuring dependency validity.

Compute has access to dependencies as a NodeRefVec (base Node_DF classes only). The recommended usage is to check dependency types at Node construction. Then use static_cast to access derived classes efficiently from the NodeRefVec. See DataFlowNumeric.h for examples.

Implements bpp::Node_DF.

Definition at line 155 of file DataFlowCWiseComputing.h.

computeRecursively()

void bpp::Node_DF::computeRecursively ( )

inherited

Compute this node value, recomputing dependencies (transitively) as needed.

Not thread safe !

Definition at line 183 of file DataFlow.cpp.

References bpp::Node_DF::isValid().

Referenced by bpp::Value< T >::targetValue().

create()

template<typename R , typename T , typename F >

static ValueRef<R> bpp::CWiseApply< R, T, F >::create ( Context &  c, NodeRefVec &&  deps, const Dimension< R > &  dim  )

inlinestatic

Build a new CWiseApply node.

Definition at line 75 of file DataFlowCWiseComputing.h.

References bpp::checkDependenciesNotNull(), and bpp::checkDependencyVectorSize().

Referenced by bpp::CWiseAdd< R, ReductionOf< T > >::create(), bpp::CWiseMul< R, ReductionOf< T > >::create(), bpp::CWiseConstantPow< T >::create(), bpp::ShiftDelta< T >::create(), bpp::CWiseApply< R, T, F >::derive(), bpp::CWiseAdd< R, std::tuple< T0, T1 > >::derive(), bpp::CWiseSub< R, std::tuple< T0, T1 > >::derive(), bpp::CWiseAdd< R, ReductionOf< T > >::derive(), bpp::CWiseAdd< R, T >::derive(), bpp::CWiseMean< R, ReductionOf< T >, ReductionOf< P > >::derive(), bpp::CWiseMean< R, ReductionOf< T >, P >::derive(), bpp::CWiseMul< R, std::tuple< T0, T1 > >::derive(), bpp::CWiseMul< R, ReductionOf< T > >::derive(), bpp::CWiseDiv< R, std::tuple< T0, T1 > >::derive(), bpp::CWiseNegate< T >::derive(), bpp::CWiseInverse< T >::derive(), bpp::CWiseLog< T >::derive(), bpp::CWiseExp< T >::derive(), bpp::CWiseConstantPow< T >::derive(), bpp::ScalarProduct< R, T0, T1 >::derive(), bpp::SumOfLogarithms< F >::derive(), bpp::LogSumExp< R, T0, T1 >::derive(), bpp::MatrixProduct< R, T0, T1 >::derive(), bpp::ShiftDelta< T >::derive(), bpp::CombineDeltaShifted< T >::derive(), bpp::ForwardLikelihoodTree::makeForwardLikelihoodAtEdge(), bpp::CWiseApply< R, T, F >::recreate(), bpp::CWiseAdd< R, std::tuple< T0, T1 > >::recreate(), bpp::CWiseSub< R, std::tuple< T0, T1 > >::recreate(), bpp::CWiseAdd< R, ReductionOf< T > >::recreate(), bpp::CWiseAdd< R, T >::recreate(), bpp::CWiseMean< R, ReductionOf< T >, ReductionOf< P > >::recreate(), bpp::CWiseMean< R, ReductionOf< T >, P >::recreate(), bpp::CWiseMul< R, std::tuple< T0, T1 > >::recreate(), bpp::CWiseMul< R, ReductionOf< T > >::recreate(), bpp::CWiseDiv< R, std::tuple< T0, T1 > >::recreate(), bpp::CWiseNegate< T >::recreate(), bpp::CWiseInverse< T >::recreate(), bpp::CWiseLog< T >::recreate(), bpp::CWiseExp< T >::recreate(), bpp::CWiseConstantPow< T >::recreate(), bpp::ScalarProduct< R, T0, T1 >::recreate(), bpp::SumOfLogarithms< F >::recreate(), bpp::LogSumExp< R, T0, T1 >::recreate(), bpp::MatrixProduct< R, T0, T1 >::recreate(), bpp::ShiftDelta< T >::recreate(), and bpp::CombineDeltaShifted< T >::recreate().

debugInfo()

template<typename R , typename T , typename F >

std::string bpp::CWiseApply< R, T, F >::debugInfo ( ) const

inlineoverridevirtual

Node debug info (default = ""): user defined detailed info for DF graph debug.

Reimplemented from bpp::Node_DF.

Definition at line 92 of file DataFlowCWiseComputing.h.

References bpp::Value< R >::accessValueConst(), bpp::numeric::debug(), bpp::CWiseApply< R, T, F >::targetDimension_, and bpp::to_string().

dependencies()

const NodeRefVec& bpp::Node_DF::dependencies ( ) const

inlinenoexceptinherited

Definition at line 183 of file DataFlow.h.

References bpp::Node_DF::dependencyNodes_.

Referenced by bpp::CWiseAdd< R, ReductionOf< T > >::compute(), bpp::CombineDeltaShifted< T >::compute(), bpp::CWiseMul< R, ReductionOf< T > >::compute(), bpp::ConfiguredDistribution::ConfiguredDistribution(), bpp::ConfiguredFrequencySet::ConfiguredFrequencySet(), bpp::ConfiguredModel::ConfiguredModel(), bpp::ConfiguredSimplex::ConfiguredSimplex(), bpp::ConfiguredTransitionMatrix::ConfiguredTransitionMatrix(), bpp::CWiseMul< R, std::tuple< T0, T1 > >::derive(), and bpp::CWiseMul< R, ReductionOf< T > >::derive().

dependency()

const NodeRef& bpp::Node_DF::dependency ( std::size_t  i ) const

inlinenoexceptinherited

Definition at line 185 of file DataFlow.h.

References bpp::Node_DF::dependencyNodes_.

Referenced by bpp::BackwardHmmLikelihood_DF::BackwardHmmLikelihood_DF(), bpp::ForwardHmmLikelihood_DF::build(), bpp::ValueFromConfiguredParameter::color(), bpp::CWiseFill< R, T >::compute(), bpp::CWiseApply< R, T, F >::compute(), bpp::CWiseAdd< R, std::tuple< T0, T1 > >::compute(), bpp::CWiseAdd< R, T >::compute(), bpp::CWiseMul< R, std::tuple< T0, T1 > >::compute(), bpp::CWiseDiv< R, std::tuple< T0, T1 > >::compute(), bpp::SumOfLogarithms< F >::compute(), bpp::CombineDeltaShifted< T >::compute(), bpp::CWiseSub< R, std::tuple< T0, T1 > >::compute(), bpp::CWiseMean< R, ReductionOf< T >, ReductionOf< P > >::compute(), bpp::CWiseMean< R, ReductionOf< T >, P >::compute(), bpp::CWiseNegate< T >::compute(), bpp::CWiseInverse< T >::compute(), bpp::CWiseLog< T >::compute(), bpp::CWiseExp< T >::compute(), bpp::CWiseConstantPow< T >::compute(), bpp::ScalarProduct< R, T0, T1 >::compute(), bpp::LogSumExp< R, T0, T1 >::compute(), bpp::MatrixProduct< R, T0, T1 >::compute(), bpp::ShiftDelta< T >::compute(), bpp::Convert< R, F >::compute(), bpp::Identity< R >::compute(), bpp::ProbabilitiesFromDiscreteDistribution::compute(), bpp::ProbabilityFromDiscreteDistribution::compute(), bpp::CategoryFromDiscreteDistribution::compute(), bpp::FrequenciesFromFrequencySet::compute(), bpp::EquilibriumFrequenciesFromModel::compute(), bpp::TransitionMatrixFromModel::compute(), bpp::TransitionFunctionFromModel::compute(), bpp::ProbabilitiesFromMixedModel::compute(), bpp::ProbabilityFromMixedModel::compute(), bpp::ShiftParameter::compute(), bpp::ValueFromConfiguredParameter::compute(), bpp::FrequenciesFromSimplex::compute(), bpp::EquilibriumFrequenciesFromTransitionMatrix::compute(), bpp::TransitionMatrixFromTransitionMatrix::compute(), bpp::CWisePattern< R >::compute(), bpp::CWiseMatching< R, ReductionOf< T > >::compute(), bpp::CWiseCompound< R, ReductionOf< T > >::compute(), bpp::ConfiguredParameter::compute(), bpp::CombineDeltaShifted< T >::create(), bpp::TransitionMatrixFromModel::debugInfo(), bpp::TransitionFunctionFromModel::debugInfo(), bpp::ValueFromConfiguredParameter::debugInfo(), bpp::CondLikelihood::debugInfo(), bpp::CWiseFill< R, T >::derive(), bpp::CWisePattern< R >::derive(), bpp::CWiseMatching< R, ReductionOf< T > >::derive(), bpp::CWiseCompound< R, ReductionOf< T > >::derive(), bpp::CWiseApply< R, T, F >::derive(), bpp::CWiseAdd< R, std::tuple< T0, T1 > >::derive(), bpp::CWiseSub< R, std::tuple< T0, T1 > >::derive(), bpp::CWiseAdd< R, ReductionOf< T > >::derive(), bpp::CWiseAdd< R, T >::derive(), bpp::CWiseMean< R, ReductionOf< T >, ReductionOf< P > >::derive(), bpp::CWiseMean< R, ReductionOf< T >, P >::derive(), bpp::CWiseMul< R, std::tuple< T0, T1 > >::derive(), bpp::CWiseMul< R, ReductionOf< T > >::derive(), bpp::CWiseDiv< R, std::tuple< T0, T1 > >::derive(), bpp::CWiseNegate< T >::derive(), bpp::CWiseInverse< T >::derive(), bpp::CWiseLog< T >::derive(), bpp::CWiseExp< T >::derive(), bpp::CWiseConstantPow< T >::derive(), bpp::ScalarProduct< R, T0, T1 >::derive(), bpp::SumOfLogarithms< F >::derive(), bpp::LogSumExp< R, T0, T1 >::derive(), bpp::MatrixProduct< R, T0, T1 >::derive(), bpp::ShiftDelta< T >::derive(), bpp::CombineDeltaShifted< T >::derive(), bpp::Convert< R, F >::derive(), bpp::Identity< R >::derive(), bpp::ProbabilitiesFromDiscreteDistribution::derive(), bpp::ProbabilityFromDiscreteDistribution::derive(), bpp::CategoryFromDiscreteDistribution::derive(), bpp::FrequenciesFromFrequencySet::derive(), bpp::EquilibriumFrequenciesFromModel::derive(), bpp::TransitionMatrixFromModel::derive(), bpp::TransitionFunctionFromModel::derive(), bpp::ProbabilitiesFromMixedModel::derive(), bpp::ProbabilityFromMixedModel::derive(), bpp::ShiftParameter::derive(), bpp::ValueFromConfiguredParameter::derive(), bpp::FrequenciesFromSimplex::derive(), bpp::EquilibriumFrequenciesFromTransitionMatrix::derive(), bpp::TransitionMatrixFromTransitionMatrix::derive(), bpp::BackwardHmmLikelihood_DF::derive(), bpp::ConfiguredParameter::derive(), bpp::ValueFromConfiguredParameter::description(), bpp::ConfiguredParameter::getValue(), bpp::ConfiguredParameter::recreate(), bpp::ConfiguredParameter::setValue(), and bpp::writeDotEdge().

dependentNodes()

const std::vector<Node_DF*>& bpp::Node_DF::dependentNodes ( ) const

inlinenoexceptinherited

Definition at line 175 of file DataFlow.h.

References bpp::Node_DF::dependentNodes_.

derive()

template<typename R , typename T , typename F >

NodeRef bpp::CWiseApply< R, T, F >::derive ( Context &  c, const Node_DF &  node  )

inlinefinalvirtual

Returns a node computing d(this_node_expression)/d(node_expression).

The expression represented by 'node' is considered as a variable. Event if 'node' is a constant value node, d(node)/d(node) == 1. The derivative of a matrix is the matrix of the derivatives. Derivation is undefined by default, and this function will throw an exception. Implementations will usually recursively derive sub-expressions and combine them.

Reimplemented from bpp::Node_DF.

Definition at line 105 of file DataFlowCWiseComputing.h.

References bpp::ConstantZero, bpp::ConstantZero< T >::create(), bpp::ConstantOne< T >::create(), bpp::CWiseApply< R, T, F >::create(), bpp::Node_DF::dependency(), bpp::NodeX, and bpp::CWiseApply< R, T, F >::targetDimension_.

deriveAsValue()

ValueRef<R > bpp::Value< R >::deriveAsValue ( Context &  c, const Node_DF &  node  )

inlineinherited

Derive and cast result as Value<T> (most nodes derive to the same value type).

Definition at line 389 of file DataFlow.h.

description()

template<typename R , typename T , typename F >

std::string bpp::CWiseApply< R, T, F >::description ( ) const

inlineoverridevirtual

Node pretty name (default = type name).

Reimplemented from bpp::Node_DF.

Definition at line 149 of file DataFlowCWiseComputing.h.

hashAdditionalArguments()

std::size_t bpp::Node_DF::hashAdditionalArguments ( ) const

virtualinherited

Return the hash of node-specific configuration.

Compute a hash from additional arguments of the node. The hashed values must the same as the ones compared by compareAdditionalArguments. The default returns 0, which is ok if there are no additional arguments.

Reimplemented in bpp::Sequence_DF, bpp::ConfiguredParameter, bpp::ConfiguredModel, bpp::NumericConstant< T >, bpp::ShiftParameter, bpp::ConstantOne< T >, bpp::ConstantZero< T >, bpp::CombineDeltaShifted< T >, bpp::ShiftDelta< T >, bpp::CWiseConstantPow< T >, bpp::ConfiguredTransitionMatrix, bpp::ConfiguredSimplex, bpp::ConfiguredFrequencySet, and bpp::ConfiguredDistribution.

Definition at line 171 of file DataFlow.cpp.

hasNumericalProperty()

bool bpp::Node_DF::hasNumericalProperty ( NumericalProperty  prop ) const

virtualinherited

Test if the node has the given numerical property.

This is an optional indication only, used for optimisations. If unsure, leave it to always false (the default implementation). This should be non recursive, to ensure a constant time check.

Reimplemented in bpp::NumericConstant< T >, bpp::ConstantOne< T >, and bpp::ConstantZero< T >.

Definition at line 168 of file DataFlow.cpp.

Referenced by bpp::ScalarProduct< R, T0, T1 >::create(), bpp::CWisePattern< R >::create(), bpp::CWiseAdd< R, T >::create(), bpp::CWiseMean< R, ReductionOf< T >, ReductionOf< P > >::create(), bpp::CWiseDiv< R, std::tuple< T0, T1 > >::create(), bpp::CWiseNegate< T >::create(), bpp::CWiseInverse< T >::create(), bpp::CWiseLog< T >::create(), bpp::CWiseExp< T >::create(), bpp::CWiseConstantPow< T >::create(), and bpp::CombineDeltaShifted< T >::create().

invalidateRecursively()

void bpp::Node_DF::invalidateRecursively ( )

protectednoexceptinherited

Invalidate (transitively) dependent nodes from this one.

Not thread safe !

Definition at line 219 of file DataFlow.cpp.

References bpp::Node_DF::isValid().

Referenced by bpp::Value< T >::modify(), and bpp::Node_DF::resetDependencies_().

isValid()

bool bpp::Node_DF::isValid ( ) const

inlinenoexceptinherited

Definition at line 166 of file DataFlow.h.

References bpp::Node_DF::isValid_.

Referenced by bpp::Node_DF::computeRecursively(), bpp::Node_DF::invalidateRecursively(), and bpp::writeDotNode().

makeInvalid()

void bpp::Node_DF::makeInvalid ( )

inlineprotectednoexceptinherited

Definition at line 270 of file DataFlow.h.

References bpp::Node_DF::isValid_.

Referenced by bpp::Node_DF::resetDependencies_().

makeValid()

void bpp::Node_DF::makeValid ( )

inlineprotectednoexceptinherited

Definition at line 271 of file DataFlow.h.

References bpp::Node_DF::isValid_.

Referenced by bpp::Value< T >::modify(), bpp::NumericConstant< T >::NumericConstant(), bpp::NumericMutable< T >::NumericMutable(), and bpp::Sequence_DF::Sequence_DF().

modify()

void bpp::Value< R >::modify ( Callable &&  modifier, bool  makeValid  )

inlineinherited

General case for modification of the T object.

Takes a callable object (lambda, function pointer) that performs the modification. It must take a single T& as argument, which will refer to the T object to modify. The callable is called exactly once.

Parameters

modifier	callable to modify this object
makeValid	boolean if this object is valid after modification (which means no call to this->compute()

Definition at line 405 of file DataFlow.h.

nbDependencies()

std::size_t bpp::Node_DF::nbDependencies ( ) const

inlinenoexceptinherited

Number of dependencies (ie nodes we depend on)

Definition at line 181 of file DataFlow.h.

References bpp::Node_DF::dependencyNodes_.

Referenced by bpp::SumOfLogarithms< F >::compute(), bpp::CWiseMean< R, ReductionOf< T >, ReductionOf< P > >::compute(), bpp::CWiseMean< R, ReductionOf< T >, P >::compute(), bpp::EquilibriumFrequenciesFromModel::compute(), bpp::TransitionMatrixFromModel::compute(), bpp::CWiseMatching< R, ReductionOf< T > >::compute(), bpp::CWiseCompound< R, ReductionOf< T > >::compute(), bpp::CWiseMatching< R, ReductionOf< T > >::derive(), bpp::CWiseCompound< R, ReductionOf< T > >::derive(), bpp::CWiseAdd< R, ReductionOf< T > >::derive(), bpp::CWiseMean< R, ReductionOf< T >, ReductionOf< P > >::derive(), bpp::CWiseMean< R, ReductionOf< T >, P >::derive(), bpp::CWiseMul< R, ReductionOf< T > >::derive(), bpp::SumOfLogarithms< F >::derive(), bpp::CombineDeltaShifted< T >::derive(), bpp::EquilibriumFrequenciesFromModel::derive(), and bpp::TransitionMatrixFromModel::derive().

nbDependentNodes()

std::size_t bpp::Node_DF::nbDependentNodes ( ) const

inlinenoexceptinherited

Number of dependent nodes (ie nodes that depend on this)

Definition at line 172 of file DataFlow.h.

References bpp::Node_DF::dependentNodes_.

recreate()

template<typename R , typename T , typename F >

NodeRef bpp::CWiseApply< R, T, F >::recreate ( Context &  c, NodeRefVec &&  deps  )

inlinefinalvirtual

Recreate the node with different dependencies.

Reimplemented from bpp::Node_DF.

Definition at line 134 of file DataFlowCWiseComputing.h.

References bpp::CWiseApply< R, T, F >::create(), and bpp::CWiseApply< R, T, F >::targetDimension_.

registerNode()

void bpp::Node_DF::registerNode ( Node_DF *  n )

privateinherited

Definition at line 240 of file DataFlow.cpp.

References bpp::Node_DF::dependentNodes_.

resetDependencies_()

void bpp::Node_DF::resetDependencies_ ( NodeRefVec &&  dependenciesArg )

inlineprotectedinherited

Definition at line 288 of file DataFlow.h.

References bpp::Node_DF::dependencyNodes_, bpp::Node_DF::invalidateRecursively(), and bpp::Node_DF::makeInvalid().

shape()

template<typename R , typename T , typename F >

std::string bpp::CWiseApply< R, T, F >::shape ( ) const

inlineoverridevirtual

Reimplemented from bpp::Node_DF.

Definition at line 139 of file DataFlowCWiseComputing.h.

targetValue()

const R & bpp::Value< R >::targetValue ( )

inlineinherited

Access value, recompute if needed.

Recompute the value if it is not up to date. Then access it as const. Recomputation is single threaded and not thread safe.

Definition at line 374 of file DataFlow.h.

unregisterNode()

void bpp::Node_DF::unregisterNode ( const Node_DF *  n )

privateinherited

Definition at line 245 of file DataFlow.cpp.

References bpp::Node_DF::dependentNodes_.

Member Data Documentation

bppLik_

template<typename R , typename T , typename F >

std::vector<VectorLik> bpp::CWiseApply< R, T, F >::bppLik_

private

For computation purpose.

Definition at line 186 of file DataFlowCWiseComputing.h.

Referenced by bpp::CWiseApply< R, T, F >::compute().

dependencyNodes_

NodeRefVec bpp::Node_DF::dependencyNodes_ {}

privateinherited

Definition at line 312 of file DataFlow.h.

Referenced by bpp::Node_DF::dependencies(), bpp::Node_DF::dependency(), bpp::Node_DF::nbDependencies(), bpp::Node_DF::Node_DF(), bpp::Node_DF::resetDependencies_(), and bpp::Node_DF::~Node_DF().

dependentNodes_

std::vector<Node_DF*> bpp::Node_DF::dependentNodes_ {}

privateinherited

Definition at line 313 of file DataFlow.h.

Referenced by bpp::Node_DF::dependentNodes(), bpp::Node_DF::nbDependentNodes(), bpp::Node_DF::registerNode(), and bpp::Node_DF::unregisterNode().

isValid_

bool bpp::Node_DF::isValid_ {false}

privateinherited

Definition at line 314 of file DataFlow.h.

Referenced by bpp::Node_DF::isValid(), bpp::Node_DF::makeInvalid(), and bpp::Node_DF::makeValid().

targetDimension_

template<typename R , typename T , typename F >

Dimension<R> bpp::CWiseApply< R, T, F >::targetDimension_

private

Definition at line 188 of file DataFlowCWiseComputing.h.

Referenced by bpp::CWiseAdd< R, ReductionOf< T > >::compute(), bpp::CombineDeltaShifted< T >::compute(), bpp::CWiseMean< R, ReductionOf< T >, ReductionOf< P > >::compute(), bpp::CWiseMul< R, ReductionOf< T > >::compute(), bpp::CWiseApply< R, T, F >::debugInfo(), bpp::CWiseAdd< R, std::tuple< T0, T1 > >::debugInfo(), bpp::CWiseSub< R, std::tuple< T0, T1 > >::debugInfo(), bpp::CWiseAdd< R, ReductionOf< T > >::debugInfo(), bpp::CWiseAdd< R, T >::debugInfo(), bpp::CWiseMean< R, ReductionOf< T >, ReductionOf< P > >::debugInfo(), bpp::CWiseMean< R, ReductionOf< T >, P >::debugInfo(), bpp::CWiseMul< R, std::tuple< T0, T1 > >::debugInfo(), bpp::CWiseMul< R, ReductionOf< T > >::debugInfo(), bpp::CWiseDiv< R, std::tuple< T0, T1 > >::debugInfo(), bpp::CWiseNegate< T >::debugInfo(), bpp::CWiseInverse< T >::debugInfo(), bpp::CWiseLog< T >::debugInfo(), bpp::CWiseExp< T >::debugInfo(), bpp::CWiseConstantPow< T >::debugInfo(), bpp::MatrixProduct< R, T0, T1 >::debugInfo(), bpp::ShiftDelta< T >::debugInfo(), bpp::CombineDeltaShifted< T >::debugInfo(), bpp::CWiseApply< R, T, F >::derive(), bpp::CWiseAdd< R, std::tuple< T0, T1 > >::derive(), bpp::CWiseSub< R, std::tuple< T0, T1 > >::derive(), bpp::CWiseAdd< R, ReductionOf< T > >::derive(), bpp::CWiseAdd< R, T >::derive(), bpp::CWiseMean< R, ReductionOf< T >, ReductionOf< P > >::derive(), bpp::CWiseMean< R, ReductionOf< T >, P >::derive(), bpp::CWiseMul< R, std::tuple< T0, T1 > >::derive(), bpp::CWiseMul< R, ReductionOf< T > >::derive(), bpp::CWiseDiv< R, std::tuple< T0, T1 > >::derive(), bpp::CWiseNegate< T >::derive(), bpp::CWiseInverse< T >::derive(), bpp::CWiseLog< T >::derive(), bpp::CWiseExp< T >::derive(), bpp::CWiseConstantPow< T >::derive(), bpp::MatrixProduct< R, T0, T1 >::derive(), bpp::ShiftDelta< T >::derive(), bpp::CombineDeltaShifted< T >::derive(), bpp::CWiseApply< R, T, F >::recreate(), bpp::CWiseAdd< R, std::tuple< T0, T1 > >::recreate(), bpp::CWiseSub< R, std::tuple< T0, T1 > >::recreate(), bpp::CWiseAdd< R, ReductionOf< T > >::recreate(), bpp::CWiseAdd< R, T >::recreate(), bpp::CWiseMean< R, ReductionOf< T >, ReductionOf< P > >::recreate(), bpp::CWiseMean< R, ReductionOf< T >, P >::recreate(), bpp::CWiseMul< R, std::tuple< T0, T1 > >::recreate(), bpp::CWiseMul< R, ReductionOf< T > >::recreate(), bpp::CWiseDiv< R, std::tuple< T0, T1 > >::recreate(), bpp::CWiseNegate< T >::recreate(), bpp::CWiseInverse< T >::recreate(), bpp::CWiseLog< T >::recreate(), bpp::CWiseExp< T >::recreate(), bpp::CWiseConstantPow< T >::recreate(), bpp::MatrixProduct< R, T0, T1 >::recreate(), bpp::ShiftDelta< T >::recreate(), and bpp::CombineDeltaShifted< T >::recreate().

value_

R bpp::Value< R >::value_

privateinherited

Definition at line 419 of file DataFlow.h.

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The documentation for this class was generated from the following file:

• Bpp/Phyl/Likelihood/DataFlow/DataFlowCWiseComputing.h